Articolo in rivista, 2024, ENG, 10.1109/TGRS.2023.3341462
Li, Mengyu; Shen, Fang; Organelli, Emanuele; Luo, Wei; Li, Renhu; Sun, Xuerong; Wei, Xiaodao
State Key Laboratory of Estuarine and Coastal Research China; Consiglio Nazionale delle Ricerche Italy
In estuarine-coastal-shelf seas, particulate organic carbon (POC) shows the highest turnover rates of any organic carbon pool on the planet, playing a key role in the biological carbon pump. Compared with open ocean, estuarine and coastal waters are affected by large river inputs and show high hydrodynamic variability, which results in a mixture of diverse particles that includes inorganic mineral particles, living algal particles, and organic detritus. The highly complex and variable particle compositions in estuarine-coastal-shelf waters pose significant challenges in assessing their distinct roles in the carbon cycle and total POC. To overcome challenges, we collected biogeochemical and optical in situ data from 2014 to 2020 in estuarine-coastal-shelf waters of eastern China, which is one of the largest estuarine-coastal-shelf systems in the world, to develop an algorithm that can optically discriminate particle composition and estimate their respective contributions to POC. The algorithm combines the quasi-analytical algorithm and the semi-empirical radiative transfer algorithm to estimate total suspended particle concentrations and the mass fraction of organic particles from which both phytoplankton- and detritus-related POC fractions are derived. Compared to existing POC algorithms, this algorithm shows improved retrievals compared to in situ counterparts, with r^(2) and root mean squared error (RMSE) values of 0.84 and 16.57 ug L^(-1) , respectively. The algorithm is also applied to Sentinel-3/ocean and land color instrument (OLCI) images for the year of 2020. Applying the particle component discrimination method can enhance our understanding of the roles of different particle compositions in coastal carbon cycling affected by strong land-sea exchange.
IEEE transactions on geoscience and remote sensing 62 , pp. 1–15
Inherent optical properties, particle composition, particulate organic carbon (POC), sentinel-3/ocean and land color instrument (OLCI), Estuarine and Coastal areas
ID: 491559
Year: 2024
Type: Articolo in rivista
Creation: 2024-01-15 15:00:16.000
Last update: 2024-01-29 09:36:46.000
CNR authors
CNR institutes
External IDs
CNR OAI-PMH: oai:it.cnr:prodotti:491559
DOI: 10.1109/TGRS.2023.3341462
Scopus: 2-s2.0-85179826805